Automated Detection of Shoulder Rotator Cuff Tendon Tears from Ultrasound Images by CNN-Autoencoder
Author:
Affiliation:
1. University of Alberta,Department of Radiology and Diagnostic Imaging,Edmonton,Canada
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10635099/10635102/10635110.pdf?arnumber=10635110
Reference14 articles.
1. Role of Ultrasound in the Detection of Rotator-Cuff Syndrome: An Observational Study
2. Ultrasound Detection of Rotator Cuff Tears: Observer Agreement Related to Increasing Experience
3. Self-Supervised Learning to More Efficiently Generate Segmentation Masks for Wrist Ultrasound
4. U-Net: Convolutional Networks for Biomedical Image Segmentation
5. Deep learning framework based on integration of S-Mask R-CNN and Inception-v3 for ultrasound image-aided diagnosis of prostate cancer
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